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Quantitative and Qualitative Data

Introduction to statistical testing; the sign test

  • 4 things to know
  • Paper 2

Overview

When the sign test applies, how the observed value of S is calculated, how it is compared against a critical value, and the significance level conventionally used in psychology.

What you need to know

Answer each one before you reveal it.

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Key term

When is the sign test the appropriate test?

Process

How is the observed value of S calculated?

Process

How do you decide whether a sign test result is significant?

Numbers

What level of significance is conventionally used in psychology?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What type of statistical test is the sign test classified as?

    Model answer

    A non-parametric inferential statistical test.

  2. 2

    What is the purpose of the sign test?

    Model answer

    To determine whether there is a significant difference between two related conditions.

  3. 3

    Should the sign test be used when a hypothesis predicts a correlation or a difference?

    Model answer

    A difference between two conditions, not a correlation.

  4. 4

    State the three conditions that must be met for the sign test to be the appropriate statistical test.

    Model answer

    1) The hypothesis predicts a difference (not correlation), 2) The design is repeated measures or matched pairs, 3) The data is at least nominal level.

  5. 5

    What type of experimental design must be used for the sign test to be appropriate?

    Model answer

    Repeated measures or matched pairs design, where the same participants or matched participants are tested in both conditions.

  6. 6

    What is the first step when calculating the sign test?

    Model answer

    Record the scores for each participant in both conditions.

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